Making Machine Learning Accessible for Developmental Science: The Case of Automated Face Detection
ABSTRACT The last decade has seen rapid advancements in machine learning, significantly transforming fields like cybersecurity and healthcare. Developmental science has been slower to adopt these technologies. Yet, machine learning holds immense potential to transform this field, enabling scalable and data‐driven insights into developmental processes ...
Teodor Y. Nikolov +5 more
wiley +1 more source
Dynamic multi-objective aviation maintenance scheduling: an algorithmic framework. [PDF]
Qi L, Lv C, Zhang T, Wang Y.
europepmc +1 more source
Inference of marker genes of subtle cell state changes via iLR: iterative logistic regression. [PDF]
Liu Y +3 more
europepmc +1 more source
Multi-objective optimization of a regional biogas supply chain using organic waste. [PDF]
Malashin IP +5 more
europepmc +1 more source
Pareto optimal fronts of kinetic proofreading
Biological processes such as DNA replication, RNA transcription, and protein translation operate with remarkable speed and accuracy in selecting the right substrate from pools of chemically identical molecules. This result is obtained by non-equilibrium reactions that dissipate chemical energy.
openaire
Optimized scheduling of integrated energy systems: a multi-dimensional electricity, hydrogen, ammonia, heat synergy approach using the LSDBO-WOA algorithm. [PDF]
Tu N, Yang J, Yan X, Fan Z.
europepmc +1 more source
Structure Design Optimization of a Differential Capacitive MEMS Accelerometer Based on a Multi-Objective Elitist Genetic Algorithm. [PDF]
Yang D +10 more
europepmc +1 more source
Parameterized shape optimization of a bi-leaflet heart valved conduit for pediatric applications. [PDF]
Luo C +7 more
europepmc +1 more source
A deployable digital twin framework for bolt-torque specification compression in EV chassis assembly. [PDF]
Wang H +6 more
europepmc +1 more source

